{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Deep Learning Models -- A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in Jupyter Notebooks.\n",
    "- Author: Sebastian Raschka\n",
    "- GitHub Repository: https://github.com/rasbt/deeplearning-models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sebastian Raschka \n",
      "\n",
      "CPython 3.7.3\n",
      "IPython 7.9.0\n",
      "\n",
      "torch 1.4.0\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -a 'Sebastian Raschka' -v -p torch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Runs on CPU or GPU (if available)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# VGG16 Convolutional Neural Network for Kaggle's Cats and Dogs Images"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "Implementation of the VGG-16 [1] architecture for training a dogs vs cats classifier.\n",
    "\n",
    "References\n",
    "\n",
    "- [1] Simonyan, K., & Zisserman, A. (2014). Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import os\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "import torch\n",
    "import torch.nn.functional as F\n",
    "import torch.nn as nn\n",
    "\n",
    "\n",
    "from torch.utils.data import Dataset\n",
    "from torch.utils.data import DataLoader\n",
    "from torchvision import transforms\n",
    "\n",
    "from PIL import Image\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "if torch.cuda.is_available():\n",
    "    torch.backends.cudnn.deterministic = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "##########################\n",
    "### SETTINGS\n",
    "##########################\n",
    "\n",
    "# Device\n",
    "DEVICE = torch.device(\"cuda:3\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "# Hyperparameters\n",
    "RANDOM_SEED = 1\n",
    "LEARNING_RATE = 0.001\n",
    "NUM_EPOCHS = 100\n",
    "BATCH_SIZE = 128\n",
    "\n",
    "# Architecture\n",
    "NUM_CLASSES = 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cats vs Dogs Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download the Kaggle Cats and Dogs Dataset from  https://www.kaggle.com/c/dogs-vs-cats/data by clicking on the \"Download All\" link:\n",
    "\n",
    "![](images/cats-and-dogs-download-all.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then, unzip the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset folder consists of two subfolders, `train`, and `test1`, which contain the training and test images in jpg format, respectively. Note that the test set examples are unlabeled."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```python\n",
    "\n",
    "import os\n",
    "\n",
    "num_train_cats = len([i for i in os.listdir(os.path.join('dogs-vs-cats', 'train')) \n",
    "                      if i.endswith('.jpg') and i.startswith('cat')])\n",
    "\n",
    "num_train_dogs = len([i for i in os.listdir(os.path.join('dogs-vs-cats', 'train')) \n",
    "                      if i.endswith('.jpg') and i.startswith('dog')])\n",
    "                            \n",
    "print(f'Training set cats: {num_train_cats}')\n",
    "print(f'Training set dogs: {num_train_dogs}')\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The naming scheme within each of these subfolders is `<class>.<imagenumber>.jpg`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(331, 464, 3)\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = Image.open(os.path.join('dogs-vs-cats','train', 'cat.59.jpg'))\n",
    "print(np.asarray(img, dtype=np.uint8).shape)\n",
    "plt.imshow(img);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating Validation and Test Subsets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Move 2500 images from the training folder into a test set folder\n",
    "- Move 2500 images from the training folder into a validation set folder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "if not os.path.exists(os.path.join('dogs-vs-cats', 'test')):\n",
    "    os.mkdir(os.path.join('dogs-vs-cats', 'test'))\n",
    "\n",
    "if not os.path.exists(os.path.join('dogs-vs-cats', 'valid')):\n",
    "    os.mkdir(os.path.join('dogs-vs-cats', 'valid'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "for fname in os.listdir(os.path.join('dogs-vs-cats', 'train')):\n",
    "    if not fname.endswith('.jpg'):\n",
    "        continue\n",
    "    _, img_num, _ = fname.split('.')\n",
    "    filepath = os.path.join('dogs-vs-cats', 'train', fname)\n",
    "    img_num = int(img_num)\n",
    "    if img_num > 11249:\n",
    "        os.rename(filepath, filepath.replace('train', 'test'))\n",
    "    elif img_num > 9999:\n",
    "        os.rename(filepath, filepath.replace('train', 'valid'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Standardizing Images"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Getting mean and standard devation for normalizing images via z-score normalization. For details, see the related notebook [./cnn-standardized.ipynb](cnn-standardized.ipynb)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean: tensor([0.4875, 0.4544, 0.4164])\n",
      "Std Dev: tensor([0.2521, 0.2453, 0.2481])\n"
     ]
    }
   ],
   "source": [
    "class CatsDogsDataset(Dataset):\n",
    "    \"\"\"Custom Dataset for loading CelebA face images\"\"\"\n",
    "\n",
    "    def __init__(self, img_dir, transform=None):\n",
    "    \n",
    "        self.img_dir = img_dir\n",
    "        \n",
    "        self.img_names = [i for i in \n",
    "                          os.listdir(img_dir) \n",
    "                          if i.endswith('.jpg')]\n",
    "        \n",
    "        self.y = []\n",
    "        for i in self.img_names:\n",
    "            if i.split('.')[0] == 'cat':\n",
    "                self.y.append(0)\n",
    "            else:\n",
    "                self.y.append(1)\n",
    "        \n",
    "        self.transform = transform\n",
    "\n",
    "    def __getitem__(self, index):\n",
    "        img = Image.open(os.path.join(self.img_dir,\n",
    "                                      self.img_names[index]))\n",
    "        \n",
    "        if self.transform is not None:\n",
    "            img = self.transform(img)\n",
    "        \n",
    "        label = self.y[index]\n",
    "        return img, label\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.y)\n",
    "\n",
    "    \n",
    "\n",
    "custom_transform1 = transforms.Compose([transforms.Resize([64, 64]),\n",
    "                                        transforms.ToTensor()])\n",
    "\n",
    "train_dataset = CatsDogsDataset(img_dir=os.path.join('dogs-vs-cats', 'train'), \n",
    "                                transform=custom_transform1)\n",
    "\n",
    "train_loader = DataLoader(dataset=train_dataset, \n",
    "                          batch_size=5000, \n",
    "                          shuffle=False)\n",
    "\n",
    "train_mean = []\n",
    "train_std = []\n",
    "\n",
    "for i, image in enumerate(train_loader, 0):\n",
    "    numpy_image = image[0].numpy()\n",
    "    \n",
    "    batch_mean = np.mean(numpy_image, axis=(0, 2, 3))\n",
    "    batch_std = np.std(numpy_image, axis=(0, 2, 3))\n",
    "    \n",
    "    train_mean.append(batch_mean)\n",
    "    train_std.append(batch_std)\n",
    "\n",
    "train_mean = torch.tensor(np.mean(train_mean, axis=0))\n",
    "train_std = torch.tensor(np.mean(train_std, axis=0))\n",
    "\n",
    "print('Mean:', train_mean)\n",
    "print('Std Dev:', train_std)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dataloaders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_transforms = {\n",
    "    'train': transforms.Compose([\n",
    "        transforms.RandomRotation(5),\n",
    "        transforms.RandomHorizontalFlip(),\n",
    "        transforms.RandomResizedCrop(64, scale=(0.96, 1.0), ratio=(0.95, 1.05)),\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize(train_mean, train_std)\n",
    "    ]),\n",
    "    'valid': transforms.Compose([\n",
    "        transforms.Resize([64, 64]),\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize(train_mean, train_std)\n",
    "    ]),\n",
    "}\n",
    "\n",
    "\n",
    "train_dataset = CatsDogsDataset(img_dir=os.path.join('dogs-vs-cats', 'train'), \n",
    "                                transform=data_transforms['train'])\n",
    "\n",
    "train_loader = DataLoader(dataset=train_dataset, \n",
    "                          batch_size=BATCH_SIZE,\n",
    "                          drop_last=True,\n",
    "                          shuffle=True)\n",
    "\n",
    "valid_dataset = CatsDogsDataset(img_dir=os.path.join('dogs-vs-cats', 'valid'), \n",
    "                                transform=data_transforms['valid'])\n",
    "\n",
    "valid_loader = DataLoader(dataset=valid_dataset, \n",
    "                          batch_size=BATCH_SIZE, \n",
    "                          shuffle=False)\n",
    "\n",
    "test_dataset = CatsDogsDataset(img_dir=os.path.join('dogs-vs-cats', 'test'), \n",
    "                               transform=data_transforms['valid'])\n",
    "\n",
    "test_loader = DataLoader(dataset=test_dataset, \n",
    "                         batch_size=BATCH_SIZE, \n",
    "                         shuffle=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "##########################\n",
    "### MODEL\n",
    "##########################\n",
    "\n",
    "\n",
    "class VGG16(torch.nn.Module):\n",
    "\n",
    "    def __init__(self, num_classes):\n",
    "        super(VGG16, self).__init__()\n",
    "        \n",
    "        # calculate same padding:\n",
    "        # (w - k + 2*p)/s + 1 = o\n",
    "        # => p = (s(o-1) - w + k)/2\n",
    "        \n",
    "        self.block_1 = nn.Sequential(\n",
    "                nn.Conv2d(in_channels=3,\n",
    "                          out_channels=64,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          # (1(32-1)- 32 + 3)/2 = 1\n",
    "                          padding=1), \n",
    "                nn.ReLU(),\n",
    "                nn.Conv2d(in_channels=64,\n",
    "                          out_channels=64,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),\n",
    "                nn.MaxPool2d(kernel_size=(2, 2),\n",
    "                             stride=(2, 2))\n",
    "        )\n",
    "        \n",
    "        self.block_2 = nn.Sequential(\n",
    "                nn.Conv2d(in_channels=64,\n",
    "                          out_channels=128,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),\n",
    "                nn.Conv2d(in_channels=128,\n",
    "                          out_channels=128,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),\n",
    "                nn.MaxPool2d(kernel_size=(2, 2),\n",
    "                             stride=(2, 2))\n",
    "        )\n",
    "        \n",
    "        self.block_3 = nn.Sequential(        \n",
    "                nn.Conv2d(in_channels=128,\n",
    "                          out_channels=256,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),\n",
    "                nn.Conv2d(in_channels=256,\n",
    "                          out_channels=256,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),        \n",
    "                nn.Conv2d(in_channels=256,\n",
    "                          out_channels=256,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),\n",
    "                nn.Conv2d(in_channels=256,\n",
    "                          out_channels=256,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),\n",
    "                nn.MaxPool2d(kernel_size=(2, 2),\n",
    "                             stride=(2, 2))\n",
    "        )\n",
    "        \n",
    "          \n",
    "        self.block_4 = nn.Sequential(   \n",
    "                nn.Conv2d(in_channels=256,\n",
    "                          out_channels=512,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),        \n",
    "                nn.Conv2d(in_channels=512,\n",
    "                          out_channels=512,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),        \n",
    "                nn.Conv2d(in_channels=512,\n",
    "                          out_channels=512,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),\n",
    "                nn.Conv2d(in_channels=512,\n",
    "                          out_channels=512,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),   \n",
    "                nn.MaxPool2d(kernel_size=(2, 2),\n",
    "                             stride=(2, 2))\n",
    "        )\n",
    "        \n",
    "        self.block_5 = nn.Sequential(\n",
    "                nn.Conv2d(in_channels=512,\n",
    "                          out_channels=512,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),            \n",
    "                nn.Conv2d(in_channels=512,\n",
    "                          out_channels=512,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),            \n",
    "                nn.Conv2d(in_channels=512,\n",
    "                          out_channels=512,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),\n",
    "                nn.Conv2d(in_channels=512,\n",
    "                          out_channels=512,\n",
    "                          kernel_size=(3, 3),\n",
    "                          stride=(1, 1),\n",
    "                          padding=1),\n",
    "                nn.ReLU(),   \n",
    "                nn.MaxPool2d(kernel_size=(2, 2),\n",
    "                             stride=(2, 2))             \n",
    "        )\n",
    "        \n",
    "        self.classifier = nn.Sequential(\n",
    "                nn.Linear(512*2*2, 4096),\n",
    "                nn.ReLU(),   \n",
    "                nn.Linear(4096, 4096),\n",
    "                nn.ReLU(),\n",
    "                nn.Linear(4096, num_classes)\n",
    "        )\n",
    "            \n",
    "        \n",
    "        for m in self.modules():\n",
    "            if isinstance(m, torch.nn.Conv2d):\n",
    "                #n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels\n",
    "                #m.weight.data.normal_(0, np.sqrt(2. / n))\n",
    "                m.weight.detach().normal_(0, 0.05)\n",
    "                if m.bias is not None:\n",
    "                    m.bias.detach().zero_()\n",
    "            elif isinstance(m, torch.nn.Linear):\n",
    "                m.weight.detach().normal_(0, 0.05)\n",
    "                m.bias.detach().detach().zero_()\n",
    "        \n",
    "        \n",
    "    def forward(self, x):\n",
    "\n",
    "        x = self.block_1(x)\n",
    "        x = self.block_2(x)\n",
    "        x = self.block_3(x)\n",
    "        x = self.block_4(x)\n",
    "        x = self.block_5(x)\n",
    "\n",
    "        logits = self.classifier(x.view(-1, 512*2*2))\n",
    "        probas = F.softmax(logits, dim=1)\n",
    "\n",
    "        return logits, probas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.manual_seed(RANDOM_SEED)\n",
    "model = VGG16(num_classes=NUM_CLASSES)\n",
    "\n",
    "model = model.to(DEVICE)\n",
    "\n",
    "optimizer = torch.optim.Adam(model.parameters(), lr=LEARNING_RATE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: 001/100 | Batch 000/156 | Cost: 1136.9125\n",
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      "Epoch: 001/100 Train Acc.: 63.35% | Validation Acc.: 62.12%\n",
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      "Epoch: 100/100 Train Acc.: 97.69% | Validation Acc.: 88.08%\n",
      "Time elapsed: 306.19 min\n",
      "Total Training Time: 306.19 min\n"
     ]
    }
   ],
   "source": [
    "def compute_accuracy_and_loss(model, data_loader, device):\n",
    "    correct_pred, num_examples = 0, 0\n",
    "    cross_entropy = 0.\n",
    "    for i, (features, targets) in enumerate(data_loader):\n",
    "            \n",
    "        features = features.to(device)\n",
    "        targets = targets.to(device)\n",
    "\n",
    "        logits, probas = model(features)\n",
    "        cross_entropy += F.cross_entropy(logits, targets).item()\n",
    "        _, predicted_labels = torch.max(probas, 1)\n",
    "        num_examples += targets.size(0)\n",
    "        correct_pred += (predicted_labels == targets).sum()\n",
    "    return correct_pred.float()/num_examples * 100, cross_entropy/num_examples\n",
    "    \n",
    "\n",
    "start_time = time.time()\n",
    "train_acc_lst, valid_acc_lst = [], []\n",
    "train_loss_lst, valid_loss_lst = [], []\n",
    "\n",
    "for epoch in range(NUM_EPOCHS):\n",
    "    \n",
    "    model.train()\n",
    "    \n",
    "    for batch_idx, (features, targets) in enumerate(train_loader):\n",
    "    \n",
    "        ### PREPARE MINIBATCH\n",
    "        features = features.to(DEVICE)\n",
    "        targets = targets.to(DEVICE)\n",
    "            \n",
    "        ### FORWARD AND BACK PROP\n",
    "        logits, probas = model(features)\n",
    "        cost = F.cross_entropy(logits, targets)\n",
    "        optimizer.zero_grad()\n",
    "        \n",
    "        cost.backward()\n",
    "        \n",
    "        ### UPDATE MODEL PARAMETERS\n",
    "        optimizer.step()\n",
    "        \n",
    "        ### LOGGING\n",
    "        if not batch_idx % 120:\n",
    "            print (f'Epoch: {epoch+1:03d}/{NUM_EPOCHS:03d} | '\n",
    "                   f'Batch {batch_idx:03d}/{len(train_loader):03d} |' \n",
    "                   f' Cost: {cost:.4f}')\n",
    "\n",
    "    # no need to build the computation graph for backprop when computing accuracy\n",
    "    model.eval()\n",
    "    with torch.set_grad_enabled(False):\n",
    "        train_acc, train_loss = compute_accuracy_and_loss(model, train_loader, device=DEVICE)\n",
    "        valid_acc, valid_loss = compute_accuracy_and_loss(model, valid_loader, device=DEVICE)\n",
    "        train_acc_lst.append(train_acc)\n",
    "        valid_acc_lst.append(valid_acc)\n",
    "        train_loss_lst.append(train_loss)\n",
    "        valid_loss_lst.append(valid_loss)\n",
    "        print(f'Epoch: {epoch+1:03d}/{NUM_EPOCHS:03d} Train Acc.: {train_acc:.2f}%'\n",
    "              f' | Validation Acc.: {valid_acc:.2f}%')\n",
    "        \n",
    "    elapsed = (time.time() - start_time)/60\n",
    "    print(f'Time elapsed: {elapsed:.2f} min')\n",
    "  \n",
    "elapsed = (time.time() - start_time)/60\n",
    "print(f'Total Training Time: {elapsed:.2f} min')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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yMoMHD2b48OGA6ug3ZMgQEhMTm5Rlv+OOO5g2bRpdu3Zl+fLl9dtTUlK45ZZb6s9x++23M2TIkGbNUvZ49913ufPOOykrKyM+Pp4FCxZQW1vL7NmzKSwsRErJQw89RHBwMH/+859Zvnw5bm5uJCQk1Hc0bC0uK6vemRg2bJg8Xdx1W1mVmsPst9dzy+hYHpjchxA/T9sDj6yFBVPh8lcg5SaXzkmj6Sh0WfUzi85UVv2cYmyfcK5K6cZ/16Qz7JkfmfnmWr7e3rgYMNBjJIT3U3WtNBqN5gxECw4n8sI1g1h87xjuGt+LU0WV3L9wKzszGrWVFUJpGhkb4NTejpmoRqPRtAEtOJyIEILkmGB+f1E/vrx3DGF+nvx18S7q6hqZAwfNBJOH1jo0ZzXnghn8bKA1/yctOFxEoLcHf5jany1HC/hi6/GGO/3Cof/FsGMh1FR2zAQ1Ghfi7e1Nbm6uFh6dHCklubm5LU4I1FFVLmRGSgwfrj/KP77bx5TELgR4e1h2DrkJ9nwF+5dA4pUgJVSVqtBdjeYMJyYmhoyMDLKzszt6KprT4O3tTUxMTIuO0YLDhZhMgicvT+SK11bz/NL9PHZxf3w9zR95r4kQGAPr34DcNNjxCeSmqhpXkToaRXNm4+HhQVxcXEdPQ+MitKnKxQzqHszM83rw3rojDHziey7/9yrm/3iAOkww5AY4uhZ+fhp8gkHW6YKIGo2m06M1jnbgb9MTmZLYhc3p+aw7lMv8H1OJDPDm+tH3QVAMxE+A4B7wylA4shrG3O+0ay/ffwp3k+D8PhFOO6dGozm30YKjHXB3MzGxXyQT+0UipWTWW+t49ru9TEmcQLh1EmDsWNj1OdTVgslG9nkreG/x99RJOP8P9qtsajQaTUvQpqp2RgjB01cMpLy6lr9/2yiPI/Z8qCyCk86pZVVdW8dDxfN4ufQR8tKdXNZao9Gcs2jB0QH0jvTnt+N68fnW46w5mGPZ0dNc6yZ9tVOuc+RUAf3EUQJFGd6LroMSO0UYNRqNpgVowdFB3DupNz1CfXn8y10cLzCXTw7sCqG9nNZuNuvgdjxFLW/UXIJ7eY6qzFtlo2+IRqPRtAAtODoIbw83/nHVQI7nlzNp3i/MW7af0soa1avjyBrl52gjFce2ArAjcjp/9/kdHN8C3z3S5vNqNJpzGy04OpAxvcP5+fcTmJoUxb+XpzHphV/IjxwBlYVOabXpcWoXZXgzIHEw/81LojLhGti/1Akz12g05zJacHQw3YJ9eGnmED65cxQ5JVW8d8KcwXmk7X6O0OJ9ZHjGM6KXCsU97NELynKgNOc0R2o0Go19tODoJJwXG8rFA7vy1rZK6oLj2uznqKutJbb6EIVB/UmOCcLL3cSmsi5qp67Kq9Fo2oAWHJ2IOWPjKK6sIdV3sNI42uDnyDq6H39RTm2XgXi5u5HSI4Tvs4PVzuy2tY3UaDTnNlpwdCIGdw9maM8QFuX0gIpCOLyy1efKPag6Hvr3GALAiPhQfs3yQHoFao1Do9G0CS04OhlzxsbxaVEiZb7dYOENFO/6jvfWHaGgrKpF56nO2E6NNNG1bwoAI+LCkFJQ6N9bCw6NRtMmtODoZExJ6IJ/cAT3+TxHtmc03p/cwLbFr/GnL3a16Dw+ubs4LLoRFhwEwJAewXi6mThs6g7Ze1UZd41Go2kFWnB0MtzdTNw6JpafjpuYmPsoab6DeMHzP1yy71HWrvrR4fNElqaS6d23/rW3hxuDuwezuawLlOfrLHKNRtNqdJHDTsj1I3pQVFHDBQMiGRA1ndoVzzPu19fw//FqqlPH4zF9PoTG2z9BSTahdbmUhDTs69G/awDrTkRyu0BpHQFdXPtGNBrNWYnWODohvp7uPHxhX5JjgsHdE7fJj3Pkpg08WzOLmmOb4cProKLI7vFF6ZsBEF0HNdgeH+7H9squ6sUpHVml0Whah0sFhxBiqhBivxAiTQgx18Z+LyHEx+b964UQsVb7HjNv3y+EuKjRcW5CiK1CiG9cOf/ORGJ8DHLMA9xa8SAy9yB8cSfU1dkcW3BICY6guCENtsdF+JNNMDWeQUrj0Gg0mlbgMsEhhHADXgWmAQnALCFEQqNhc4B8KWVv4EXgOfOxCcBMIBGYCrxmPp/BA8A5t/I9dEFfjgUO5S3f22H/t7DynzbH1WXuIEOGE9u9YR/h+HA/QJDn10trHBqNptW4UuMYDqRJKQ9JKauAhcD0RmOmA++a//4UmCyEEObtC6WUlVLKw0Ca+XwIIWKAS4D/c+HcOyXeHm48dGFf/p47jowe0+GXv8M3D8H2jyF7P+z8FD64lh4nf2AXvYkO8m5wfLdgHzzdTWS499CRVRqNptW4UnB0A45Zvc4wb7M5RkpZAxQCYac5dj7wB8C2ncaMEOIOIcQmIcSm7Ozs1r6HTseVQ7rRJzKA2/NuoG7AFUpofHEHvDocPpsDWbv4NmAGH4Tei5LBFkwmQVyYH3tru6kEw+KTjl+4PB9W/BNqKp38jjQazZmGKwWHsLGt8S2uvTE2twshLgVOSSk3n+7iUso3pZTDpJTDIiLOnn7bbibBIxf1Y19ODZ/E/w0eOwZ3rYHpr8LNX7N/1lp+l3clPXvG2jw+PsKPzWVR6kVL/BzbPoLlT8P+JW1/ExqN5ozGlYIjA+hu9ToGyLQ3RgjhDgQBec0cOwa4XAiRjjJ9TRJCvO+KyXdmLkzowpAewcz/MZWKWqBLIgyZTWX3MTy4aAeBPu48dEFfm8fGR/ixqsgsSFvi50j/VT3v/bptk9doNA2pKIJ/JcDhXzt6Jg7jSsGxEegjhIgTQniinN2LG41ZDNxs/nsG8LOUUpq3zzRHXcUBfYANUsrHpJQxUspY8/l+llLOduF76JQIIXh0an9OFFbwu0XbyStV5Uhe/CGVvSeKeO7qZML8vWweGxfuz6m6QGq9Qx3XOOpqLe1sDyyD6gpnvA2NRgNQcBSKjkPm1o6eicO4THCYfRb3AstQEVCLpJS7hRBPCSEuNw97GwgTQqQBDwNzzcfuBhYBe4ClwD1Syra3xDuLGBkfxsMX9mXZ7pNMfuEXXvh+P2+sPMis4d2ZPMB+Yl98hB8ARQEtqFl1codqLjVoFlSVwKFfnPAONBoNAGW5DZ/PAFyaxyGlXCKl7Cul7CWlfMa87S9SysXmvyuklNdIKXtLKYdLKQ9ZHfuM+bh+UsrvbJz7Fynlpa6cf2fn/sl9+Pb+84kL9+OVn9PoHuLL45c0jnhuiArJhUN+gyFjI+x1IBXGUKEn/hG8gmBvY8VRo9G0mvI89Vx25jRY0yVHznD6RQXw6Z2j+XbnCRKjA/Hzav5fGuzrSaifJ5/7XcfQ6I3w5d3QJaH5EiaHV0JYHwjuAf2mwb5vobYa3Dyc/G40mnOQMrPgKNUah6YdMZkElw2KJj7C36Hx8eF+pOZVwzXvghCw6CaoLle5IN/+Dj64Rr0GJSCOroW4cer1gMugoqDNHQo1Go2ZsjNP49CC4xwkLtyPQ9mlENITrnoTTu5UeSCvDoct/4PU72HNK2pw5jbl14g7X73uPRk8fFtmrqqrgzfGw/o3nf9mNGcXe7+GH/7a0bNoXwxTVakWHJpOTHyEPzkllRRVVEPfi2Di4yDcYNKf4eG9kHAFrHoRCo9DurkLYaxZcHj4QJ8LlW/E0da2p3bDiW2w+wvXvCHN2cPuL2DTgo6eRftSr3FoU5WmE2NEVh3OLlUbxj8CD2yDcb8Hv3C48CklFH58QjnGIxPUdoMBl0PpKUtuhzXFWU2LLx78WT0f36xDeTXNU5qjIvgcvSk5GzAERmXRGVOZQQuOc5D6yKqcEqSU/O2bPVz6yq+UV5l/rCE9Ycz9sHOR8mUY2oZB/0vAL8JizjI4uQteTIDNje4YDy5HChPUVkLmlrZNPvUH+Hi2rrN1tmKYayrttw046zBMVXDGaB1acJyD9AjzxSTgUHYpzy/bz9urDrPreBH/XZNuGTT2IQiIhrpqi3/DwMMHRt4FaT/CiR2W7T8+AXU1sNUqmb+6HHl0LV/Lser1kdVtm/yuz5QdPP9w286j6ZwYDuLygo6dR3tSlgfu5oKkWnBoOite7m50D/Xl/XVHeP2Xg1w/ogeT+kfy2i9p5Juz0PH0g2nPQUhsU40DYNgc8AyA1S+p14dXQtoPEN5PaRU5qWr70bWImgo+rxrJcc84OLKmbZPPMvded3aW7Z7FUHDs9OM0rqOuzrJwVhR27Fzak7I8Fe4OZ4yDXAuOc5S4cD/yy6q5fFA0f5uexKNT+1NaWcOry9MsgxIuhwe2g09w0xP4BMOwW2H355B3SEXCBMbA9R+DMMGORWrcweXUmTxZX9efbaYEOLYBamtaN+naahUyDCray1lUlaqQ5A1vOO+cmpZTUaA0VuPvc4HaGuXTiTDXltMah6Yzc83Q7swe2YMXrh2Em0nQLyqAq1Ni+N/aIxzLK3PsJCPvBpM7fHS90jIm/hFC4yBuPOz4WPkhDi0nO3gQ5XizurqfCu09ueP05y44pqK6rMk5ALVmjciZGkduGiBbVmZe43ysF81zxVRVnq+ew82CQ2scms7MJcldefqKgXi4Wb4CD0/pixDwrx8OOHaSwK4waKYqlhgxQP0NkHwdFByBfd/AyZ3s9R0GwE9lvdR+e+aqikLY8Ba8fRHMT4L/XtLQCZ61Wz33GK18K3Za57YYw6ymBUfHYr1oniumKkNYhvZSmvoZkgR4WsFhboZ0jxAipD0mpOk4ugb5cMuYWL7cdtxxrWPMg+AXCRc9AyZzd98Bl4K7Dyz5AwBrSQYgS4ZQHdSMn+PTObDk92rR6DNFOcALjlj2n9wJbp4wcIZS753lIDcER0mWc86naR2lVg3XzhVTlRFR5RcGPqFnlcYxE4gGNgohFgohLhKNW8tpzhpuGR2LABZuPNpg+5HcUh5cuJXiiuqGB4T1gkdSVUa5gVeACtktzgSfEFaXROPjoYRKfvhQVcKksbZQnq/yPUbdC/esU7kk0LC0SdZuiOgPMeep184yV+UaGocWHB2K9d32uWKqMpL/fMNUrtTZonFIKdOklH8C+gIfAu8AR4UQTwohQl09QU370jXIh0n9I1m0KYPqWsvi/vzS/Xy5LZMf9zq4uCZfB4CMG8/hvAqGxSqFNSNwiLrLytnfcHzaTyBrIcHclj6iv/oxNRAcu6BLEkQOADcv5wmOHLNprrLQUqPLlVQWw6r551aSmyMYRf68As89U5VPKPiGt67Q4eb/KhNvO+KQj0MIkQy8APwT+AzVdKkI+Nl1U9N0FLOG9yC7uJKfzEJi38kivt15AoCf9p5y7CS9JkL/SylMuIHSqlpGxocBsMdzoNrfOJ9j/3fqh9NtqHotBPQcYxEcJdnKlBSVpKryRiU5J7Kqrg5y0sDHbIltDz/HviXw41/heBuTIc82SrOV0PCLaD9T1al9lrv+jsAwVfmGqkdroqo2LYAVz7drUqwjPo7NwIuojn7JUsr7pZTrpZQvAIeaP1pzJjK+bwRdg7z5cIPKa3jpx1T8vdy5KLELKw5kN9BE7OLmATM/IM1fOcYTogMJ8HbnQGWoCtu1bkFbW61yQPpeZPGTgMofKTwG+Ucs+RtdEtVz9BA4sb3tDvKi41BTroQUtI+fw/DblDoohM8VynKUucY7qH00DilhwVRYOc/117JHWa5K/vPwbb2pqiRLfZcMX1074IjGcY2UcrKU8kMpZYNCKlLKq1w0L00H4u5m4rrzuvNrajbf7z7Jd7tOctuYWK5KiaG4ooaN6bbv0ArLq7ngXyv4NdXi5EzPVU722DA/ooN8yCyshOG/UV0EMzarQUfXqYWi79SGJ4w1Z5unr7JEVHUxayzRQ6CqGPIOtu3NGmYqo2x8e2gchuAo0YKjAaU5Suv0CW4fH0dpjvKttfU71BbK8pWZSgj13svyWmbCrKuzfI9s1Y5zEY4IjkIhxMtCiC1CiM1CiJeEEGEun5mmQ7nuvO4I4L6PthLg7c6csfGM7R2Op5vJrrnq531ZpJ0q4attmfXbjuaW4mYSdAv2oWuwNycKy+G8Oco0tPJ5NejAUhUt1WtSwxNa+zmydkFAVxV9AtB1sHpuq7kq15zwaFYA5t8AACAASURBVAgpZ2ocdbW2zSD5hsaR3XTfuUypoXEEt4+pKj9dPTfOF2pPyvPUdxzMhUSlJbfDEcpylW8Q2l7OpwU4IjgWAtnA1SjfRjbwsSsnpel4DCd5ZU0dt42JI8jXAz8vd0b1CuPnfbYFx7JdatFdk5aDNNtb03PL6Bbsg6e7ia5BPpworFBRVyPvUQLjxHbl34g9H7waNaIymSx+jpO7LGYqUELF3bvtDvKcA6odbsQAlczoTI1jy7vw0iCVmW5NgTli7VwL/y04qnxV9mhvU5UhOIoyXH8te5Tlgq/Zv2YIkJaE5JaYv69egep30k5+DkcER6iU8m9SysPmx9OAjRoUmrONuyb0ZnSvMG4bG1e/bfKASA7nlHIwu6TB2IrqWlYcyCbE14PMwgoO56jF8khuKT3DfAGIDvImr7SKiupaZa7yCoSvH1Cmgn7TbE8i9nwoPGqJqDJwc4eoZNXnoy3kHIDw3kpI+Xdx7mKeuVVVec21KuNSWwOF5oXqXDNVvT8DlvzO9j6jTpW1qcrVi6CRB1Se31S4txdlecpUBZbWBS3xcxjf1/6Xqr9z28fs5ojgWC6EmCmEMJkf1wLfunpimo5naM8QPvzNSIJ8LL3FJ/WPBODnRuaqVak5lFfX8vCUfgCsTlNf/vTcsnrBERWkKoCeLKxQi8OI31o0hr4X2Z6EYUJCNhQcANGDzQ7yNoS15qRZyj34d3GuxpFnXpisnZbFmRbTwrlkqirNVSHYp/ba3m/UqTI0jrpqqHYwCbW1GBoHdJy5ytpU5WsWHC3ROIzco6Sr1XM7+TkcERy/ReVvVJkfC4GHhRDFQohzqGi+BiAmxJf+UQH8tK/hnfn3e04S4O3OdcO60y3Yh1VpORSUVVFYXk1smOr/ER3sA0BmoTlXYuTd4OmvBEJwD9sXjOhvuSOLaiQ4eo5Wta8Or2zdm6ksVgt5uLkyaUCUczUO4+7PWnAYZirfsHNL4zD6sOQdtl3k0ghD9YtQPg5wvbkqP13lA4GK3mtv6uqUtuNr/n4bAqQlIbnG97XnaPCPajc/hyMJgAFSSpOU0t38MJm3BUgpA9tjkprOxeQBkWxMz6ewTGWR19TW8ePeU0zqH4mnu4mxvcNZezCXQ2ZzVU+z4Ohq1jhOFJi7APqGwrX/g0vn27+YyQSxY5TzPKx3w319p6lFxrr/R0swFnSjpLV/pPM0jqoyJZTAErkFFsd4t2HnlsaRsUk911U3LCNjYNxl+4ZZqjHbi6yS0jm5F/nplioERR2gcVQUgKyz0jhaKTi8AsHTV/1O2snP4WgC4OVCiHnmx6WunpSmczMtqSt1UvLwom1U19ax+Ug+eaVVTEmIAmBMn3CKKmr4dodKGow1m6q6BimN40ShVXZ278nQ/bzmLzjpz3D12yo3xBoPb0i+VuWEtCQSxcDwPdSbqqKUfbm22v4xtqitadry07CfC5OlpAmYNQ6hwokri86dVrrHN6ngA7BthzeEqGGqAvuRVfu+hRf6t03IV1dAUSb0HAUIi9+pPTG+s4ZG7e6pAjVa5BzPUjc8oMy6xSdUmwMX40gC4LPAA8Ae8+MB8zbNOUpStyD+Nj2Jn/ad4vefbGfp7pN4upsY3y8CgNG91J3Tp5szEAK6hyrB4ePpRoivh4qsagkR/VRvEFsMma1a0u78tOVvJOcACDdVCh4goIt6bqkJadkf4c2JDbcZP97uI5UfxUhULDgCgdEQ1E29PheSAKVU/eb7TFGvrYMFDAyHsCOmqpM71f/85K7Wz6nwGCCVthkQ1TofR/oq+OW51s/B0Cx8rSo3+YW1zDlenKVueMDScM26TI+LcETjuBi4UEr5jpTyHWCqeZvmHGb2yJ48clE/vtqWybtr0hnbOxx/L3VHGe7vxYCugRSWVxMV6I23hyUbPMoIyXUWXQdB1EDY+l7Lj81JVf3V3c12buMHWNKCO9nqCtj+EZza3bDOkHFX3fcilZlumEIKjkJwT1VRGJoPTz1byDuk7q77TFHahC3BYXx2vmEWjcOeqcrwEzWud2aP7APw1T2WJmBgcYyHxEJgt9aF5K6aD7/8vfXaSplVuRED3/CWh+MaGkdYb/W96iSCAxqG3wa5YiKaM4+7J/Tit+PiqZMwNSmqwb6xvZXWYURUGUQHeZNZ4ORCgkNuUtFVJxxoEGVNTqrFTAUWjaMlVXJTv1cmJ4ATVjkleYfUIhAzzHwts58j/4gKBPBX2tk5oXEcN1cIiBmmFjebgsNcp8rdy1I3zJ7GYTiys08jOGoq4Zdn4T9jlB9s838t+6wFR1BM84t/UWbDCCyAmipLe4ADS5ufhz2MOlU+1hpHeAt9HKeUxgQq+7z3BbB3cct/Cy3EEcHxD2CrEOK/Qoh3gc3A3106K80ZgRCCudP68+U9Y5iREtNg35jeKrTQiKgyUNnjTrbrD5yhnOdb31ehuRmbYduHzfsqamvUAmZEVEHrNI6diywL3Yntlu15hyA03uJ4z01Ti01xphIc9RrHOSA4MjapWkwRA8yCw4aPw0j+AyVAwL6Pw3CuNyc4qkqV+fCXf8CAyyA6peGdeH666hnjH2kWHMftO5W/fgDeu6rh/uOboboUELC/lYLDlqnKN8xxjaOyREUVGhoHqHYEPqHw8WyXFm9sVnCY+26sAkYCn5sfo6SUC102I80ZhRCCwd2DMZkatmgZHhdKiK8HyTENc0W7BvlQWF5NWVUr+47bwjdUJUBt+R88Hw//Nwm+vAu+/7P9Y9a9quzkhl0YzD9A4fhiXl4AB75XJeRD4hqWP8k7pHqV+Ecqh2fOAWWuknXKPOZ3jmkc0UNU0mZYH2UWqmqUo2HUqQI1zjPAtqmqtsbij8jZb3+xP7JWmQ8vfwVmvKNMhid3WhzS+elK2xBCCY6acvsLbfY+laRq3fL40C8q8GHwDXB4hVrEW0pZngoY8LIKTvUNM5cRcSAyygjF9bfS9v0j4Lr3lJP8s9tdVrq/WcEhVd2IL6WUJ6SUi6WUX0kpdX9NzWnx9XRn7WOTmXle9wbb60Nyna11jLpXObn7X6oisM67Hda/bttpnnsQlv8d+l1icdiCitryDXM8Wmfv10r4DLzWnIxoFhxVZUpIhMarhSm8tzKLGXfKwT1URJhXkHN9HJ/fAYvvc975DNrSo6SmUi243VLU6zBz++DGkT9luRaNA1RIri1TlZFAGTFACQF7d+dGYmnCFeq55xhAqoKaYBEcoHwcYNvPUVNpMWPt+cqy/fAKVS9t0EyorYJDy23PoznKci0FDg38wlXIcqUDKXKG4DBMrAYxw2Da83DwJ6VxuQBHTFXrhBCniZfUaJri7eHWRBOpD8ktcLLgiBkKd6+FK15Vpqupz6qIpsX3q54LBlIq04ObF1zyQsMfLbQsCXDnJ0o4dEtRi0jBUXUXadjDQ+PVc3hfs+AwO3WNZEf/COclHNbWKEG25X/2s7NbQ8YmeCYK/n0eLPtTy/METu5SC2s3s6/HyMVp7OcozW4oOOwVOiww+zf6XKCe7TnIM7cq7cbbfDcfM0yZM435WwsOI8LNlp+j4KjSEk3usPtLdWxlCWRshPjx0GOkcubv/665T8E21lnjBi3JHq/XOLo03Tf0FhVxuGNR67Sh0+CI4JgIrBVCHBRC7BBC7BRCuNbzojlriQ5WGkdmoYs77bl5wDX/VYlRH89WzZMKM1ThwfRfYcpTENi16XGOlh0pOqEy1gdeo4RPtLla74ltljLdhuAI663ulLP2qPDfQLM/yC/SeUmAp/ZYSnQ07i+Rvgp2fNK68+79Wi2agd1gw5vw30vUnayjWDvGwfKZWAsOKS11qgy8g2ybqgzh29ssOOz5OTK3KvOYgYePEl5HVqtrVZVYCQ6zVmwrJNfQjAZeq/6vWbuVU7yuBuInqO9Z7wvhwLKWm4XK8hv6N8CqXpUDDvJiG6YqAyHg4hfgjl+aFg91Ao4IjmlAL2AScBlwqflZo2kxUY2zx+2QW1LJkdymhecKy6vZdszBktuBXWHGAmU2WjgLXkxU2kbs+ZBys+1jHNU4dn8OSCU4QIUFg3KQG4uNtcYBasEN7KZs+GDWOJzk48jYqJ4Tpqu55ZgX5qzd8ME18MVvW1cA79ByiBkON30JD5s1mZZE7BzfpISxYQ7y8oeA6IZzsa5TZWDPVGUIju4jVbka66x8g+KTSlBbCw5QCXIntlt8FYbg8A1X2ogtU5Xxvxxzv/Jp7PlSmancvKD7CLWv3zTl3DeEpKOU5VoCKwxaUiG3JEsJ9cbnMPDwbiqYnIQjguNpKeUR6wfwtCMnF0JMFULsF0KkCSHm2tjvJYT42Lx/vRAi1mrfY+bt+4UQF5m3eQshNgghtgshdgshnnTsbWo6C17ubkQEeLEyNbtZB/mDH2/jxrc3NNn++i8HufK11ew/WezYBePOh0fSYM4PcPE8GHEXXPFaUxOVgVEht7nOgnV1KrQzOsUSleUTovIzMrepRdG6dIYxJueAcowb+EU6zzl+fLNaAC+epxa1X19Qd+wLb1Bl7N08Wt7prjRXCYle5uRGv3AlAE4XBmsgJRxbr+70rT/vsF4NNY5Sq+Q/A+8g26aqwqPqDtvDW32u2fuajjGCFJoIjjHK7LTdHNtjCA6TSb0vW6aqvEPKeR3RX/lJdn+pHOM9RigtBlT1A5M77F/S8L2fDlumqpZUyC3JUt9Xk6NZFc7DkSsmWr8QQrgBQ093kHncqyiNJQGYJYRIaDRsDpAvpeyNak/7nPnYBGCm+dpTgdfM56sEJkkpBwGDgalCiJEOvAdNJ+KRKf3YejSf695Yx6mipprH0dwyfk3N4WheGaeKG+7fciQfKWHe9w4uXgCeftB9uCrlPu1Z+wUVQWkcdTWWGPu0nxqG2QIc+E4JgVH3NNxuOMjzDkFoL8v20Hh1twoNr+0fqe6qG5craQ0Zm5Q5yD9S2bd3fAwfzVKL4bXvwbA5sGNhy7SOwysACfFWWfER/Zou1lKqDOrsRnf/x7coX0LfKQ23h/VuWIbFuk6VgXczGofxGYb3a3pNUGYqYYKuyQ23xwwHkwfsWaxeW/8vjJDcxuQdUkEXQkDiFWreWbuUmcrAJwR6jFIh4O9ersqhvNBfFdG0h1Fvq4mpKkLN3ais3BzFJxuG4rYjdgWH+Y6/GEgWQhSZH8XAKeAre8dZMRxIk1IeklIaVXWnNxozHXjX/PenwGRzCPB0YKGUslJKeRhIA4ZLheHp8TA/2q9Du8YpXHted966aRhpp0q48rU1pGY1/IEt2mSpVLr9mGXxqKmtY+fxQoJ8PPhhTxZbjraiPtXpMByNxSfVneuH16oYfutQzdUvKe3CiNgx6DpYLZQnd1rMVKCS2oLNmkZjwQFt93OUFygnseGAHvOAugM+ugam/kPdHY99UGkiK553/LyHlqvIL+s794j+Smhaa2R5h1QG9Q+Nwp+3faByJRIbdZgO660ioozPtL7cSCNTVVVJ01wca8ER0VeZpCoaRSBlblXz9GyYQ4SnrwpkqClXWounVXKqvSRAIx8HoP9lgFlzipvQcNyQG9VcK4uVabLkZPNBCpXFKnqqscbh4aNMYKk/2D/WoOSUbf9GO2BXcEgp/yGlDAD+KaUMND8CpJRhUsrHHDh3N8C6VnGGeZvNMVLKGqAQCGvuWCGEmxBiG0qA/SClXG/r4kKIO4QQm4QQm7Kzz4GyDmcYkwd04ZM7R1FVW8ft/9ukmjuhhMMnm48xulcYbibBdit/RuqpEsqra/nD1H6E+3vy3Hf76jsNOg0jC7fgKHxxp7qbrCiApeav/NF1yvwy+j6Lr8LAcJBXFFjCTg0MP0dwI1MVtN3PYZQsNxzQgV3homdg/FwVlgxKSJ03RyUs5tjI3G6MlHDwF2Xqs36fEf2UE966DLkR+npgqUUDqK6AXZ+qGmPejYpoN46sqi9w2MhUBQ21jrpatbgHm53Z4ar3S4Oy9VKqz6Oxmcqg5xj1bJipDAK7qdwH65LvtdXqe2AIjoAu6njvIMv/2mDQdfDoYbhjOVz+strWnOCwlTVu0G8aZO20RJDZo+Rk01DcdsKRsuqPCSG6CSFGCyHGGQ8Hzm3LiNz4V25vjN1jpZS1UsrBQAwwXAiRZGMsUso3pZTDpJTDIiIibA3RdDBJ3YJ46brBHMkt4+Wf1I//l/3ZZBVVcvPoWPpHBbA9wyI4DCEyulc4903qw/rDeaxMbUFdH0cwNI7vH4fsvXDF6zD2YWXmSf1B1SfyCVWJX43parWYWGscYPFzuELjyNgMCEuuBCiz3MTHGvoWxpjDkL/4rUoOe2ea8oHYEr55h5Q/IX5Cw+0R/dWztZ8jc6s6r5uXSqwE2PeNWvQHX9/03E0Eh1WdKgNbhQ6LTyozYr3GYZ6LdUhu0XH1edoTHLF2BEdQjMoPsa4aUHhMXc/6f3nZfJj5EZjcsEtQD6VpNecLMpz8thb+vuZumM2VMqmtUSY+W6G47YCj1XFXA48Dj5gfv3fg3BmAdfZXDJBpb4wQwh1VByvPkWOllAXALygfiOYMZXTvcGYMjeHNlYfYd7KIhRuPERHgxaT+kQzqHsy2YwXU1amFbXtGAUE+HsSG+TJreA9iQnz45zInax2GxpF3EFJugj4Xwrjfq7vbL+9S/o0Rv21o5jDwDVWLBjQVHNFDlH3dusSJcYfdVo0jY6PSaIy7dHv4RyqT1ckdcGyDcq7u+8ayiFljJLT1mtRwu6E5Wfs5Mrcpf8KgmcrxXJqj7P1BPSDWxj1mSE8VlmwIjrIcS50qA1s9ORrnwYTEqmioxkIM7AsOIxqrSyN3a5A5RNraz9E4Og7U/88QPvYwmZQZLbsZjePoOpSwt+EuDu+jfGTN5YaUZgOy8woO4Eqgn5TyYinlZeaHnRrXDdgI9BFCxAkhPFHO7sWNxiwGjLjIGcDP5mz1xcBMc9RVHNAH2CCEiBBCBAMIIXyACwAbYRWaM4k/XTyAQB8PHvp4O8v3n2LG0Bg83EwM7h5McUUNh81huVuPFjCoezBCCDzdTdw3qTe7jhex+YgTfR0ePupuN6gHTHlGbXP3gun/Vguiuw+c9xv7x0ebw3IbC47Eq+DBHQ2dmfUax2kEh5Sw7nXb4Z5SqpDXGAdzdCfMhcdPqblc+YbadnJn03EHl6v8hsbvwzdULVbGYl1XpwICooeo7P2aCvjpSTj4MwyeZTvix81DLfrbPoJ3piph09jWX2+qsvrfGoLDEM5u7mqBbSw4TO7QpUFMjwUvf7h3I4y4s+F2W9njhoO68WfgCBEDmtc4jq6FyATbobRCKHNV+q/2HezNJf+1A44IjkMoJ3SLMPss7gWWAXuBRVLK3UKIp4QQhuB5GwgTQqQBDwNzzcfuBhah+n8sBe6RUtYCXVE90HegBNMPUspvWjo3TecixM+Txy8ZwN4TRdTWSa4dppTNwd3VXef2YwWUVdVwIKuYwTGWu+pLkqPx9jDx5TYnd2+78j9wwycNbfPdh8NlL8GlL6qeCfZIvk4JCeOO2cBkUn04rPHwUTWZrMuOZB9oajo6tByWzoUFF6twUGvy01U+QMxpAx0tGOarLgmAUFFC1tTWwOFflZnKVtiydWRVbppyYkcPUXfZfS5S2etIGDTL/hwGzVJCyOQOceNg/B8a7rdlqqrXOKyMERF9G5qqMrdC5ABLqKwtAqMbajdgpXFYC45DqjhjaxbniH7KbGYrMqy2Rml8PUfZP77fNJVxf/Bn2/vry410jHPc/fRDKAO2CSF+QoXDAiClvP90B0oplwBLGm37i9XfFcA1do59Bnim0bYdgB0dVHMmc+WQbizZeRIhIC5cRcP0ivDHz9ONbccKiAnxpU7CoO6WBdnfy50pCVF8s+MEf7k0EU93J8Wz95tme/tQO0mD1gy4TD2A0soaUk+V1AtAm/hHWDSOI2tgwTS44EllUjL49V8Q0FWZaD65GQr+ppzzQlhashoRVS3B00858RtrHCe2QWWhJX+jMRH9lbYgZVPT0Oh7IXUZ9BxraZBli/GPqIc9bPXkKDyqAgqshUJEf5XdXl2hhEHmVhjgiEGk8fUClbmsseAw6o21lMgB6jn7QNMOl1m7lLDt0Yzg6D5SCc/936mkzsYY1Q06KBzXEcGxmKYmJo3GqQgheOumoQirH6mbSZAcE8z2YwV0D1E+hUGNFuErhkSzeHsmKw5kc2FCx6jt9vhw/VGeW7qPHU9MwdfTzk/NL9Li41htjsZZ8RwkXa3urI+uVyaLi/4Bw26DL+9UYa+p3ysfzJHV6q44snGKlINEDVT5FtYcXqGe48bbPiaiH1QVqz4VmVvV9Q3fR+z5MPahhsUjW4OPHY2jcQ5ORH+V1PfP3kprKM+37984HV2SVN5OXZ3SEPMOK42mNUSYI76y9zYVHEfXqufmBIebu6roa5QyaeyMN74zndVUJaV8F2U2WielfNd4uH5qmnMNYePOblD3YPacKGJDeh4xIT6E+zc0MZzfJ4JQP0/nm6ucQGZhOTV1ktySKvuDjLIj2QeU433wbHUnv8wc/vvrC8r+P/RmlS199Tsw5Wm1iH7+G3MG+5CmocGO0iVJVe21XqDTVysbvXVehTX1kVX7lOCISrYsbELABU9Az9Gtm4+Bh4+K0qpo5By3NlMB9LtYVYIdfL1yuvcYpQIaWsN5c1RQxMGf1GKdf1iVy28NwT3B3du2n+PIGuWnCWqcndCIvlNV2O6xphUUKDmpNJLGJrd2wpGoqsuAbShfA0KIwUIIrYFo2oXB3YOorpX8vO9UE20DwMPNxGXJXflxTxZFFc00buoADIFRUNbMvIyyI2v/rRaaC55QJpy9XysTVeoyGHmXJZnNZFJmqvu3wc1fq5pbo+5t/SSjBqrnrN3qubZa5ak0FzlkCI6s3SpCq7V3+KfDutBhXZ05h6ORxuHhraLcLn4erv8Ybltq8Ve0lAGXq4S6da8rbaq2qnWOcVCCNLxv01wOaS7t3px/w6D3ZBWJt39J030lWR3m3wDHnONPoLLACwCklNuAVophjaZlDO6uok5q6ySDY2z7CqYP6UZlTR1Ld3WuVjG5pcolmFfWnMYRqcwr2xcqh7F/BIy6T5UE/+lJZXe3FcVlMimn8uUvQ/+LWz9JQ3CcNDvIT2xX9vfYsfaP8QtXWtDexSoZ0FWCw7rQYUmWWsibKxfTVtw9ldZx8CdLDkVrBQcoAdtY48g7pG4UejhQKck7SGluqd833Vec1WFmKnBMcNRIKRuHBugyH5p2ISrImy6BSh23pXEADOkeTM8wX77qZOYqQ+PIL21GcBi5HLVVltpX7p5wibkg4fDfNI3QciYBXVVCo1Ex1miv2vM0uQoR/S0VeV2pcRimqsahuK5i6C0qN8RogNQWwRHZX4X3WpdEqfdvOGjK6zfN3IHQqnZVRaES8K31azkBRwTHLiHE9YCbEKKPEOIVYI2L56XR1DMoJhg3kyCpW6DN/UIIrhjcjTUHc8myUTSxo8gxBMfpNA5Qtnrr5MD4CXD3epj4J5fND1A+iaiBlpDcI6uVieV00TqG89fT35IJ7my8gy2mKuvuia7EPxKSZqgQZzcvS35Ha6jPbLcqxHhkrcrdCHfQ6d73IvV8YJll275vVefJpKtbP7c24ojguA9VpbYS+BBVT+rBZo/QaJzIb8fH86eLB9iPTAIuHtgVKeGnvZ2jh3ddnSTPbKpqVuPokqju+M//XdN9kf2bL23hLKIGqiZTNZVqYWvOTGVgLIpdB7uurLdPsHIOb/w/WPKIKrjoasEBMOIO9RwS27b3ZnxG1n6Oo2uVA9/R84bGKyFjXX5k12fqc4hpRQi2k3AkqqpMSvknKeV55sfj5vwLjaZdGNozlNvGNu9W69vFn5gQH37e56RWrG2koLwac6WU5n0cofHwh0MtS+BzNlED1R3srs9VmO3pzFRg0TgaF/tzJt5BykT17e/UHOcss13qxdlED1HhxG2NDAuJVVqLkSxZnKWithzxb1jT9yJlQqwsVnW9Di5X2kZr8kucRCtj+DSazoUQggsGdGHhxqNUVNfi7dEOd+rNkFti6bGR31xUFXToAgCokFyA9a+rZ0c0jqhk1cmvrfkazdF9pFowxz8KiVe27+d0/aK2X8+IrMreD1WlKnwa0bT+1+noOxXWvKIERlmOKsbYgWYq0IJDcxYxqX8k/12Tzuq0HCYP6NhkQMO/YRKnMVV1BsL7Kofwie3KX+FImKdvKPyumSJ+ziD5GvXoCJwlpCL7q/It710FGRtUtWUjks1Ruo9Q2teBZcrXE97XIuw7iPbvOajRuIgR8aH4ebrxYwv9HHV1kjdWHGTfyaLTD3YQIxS3R6jv6TWOjsbd02J6csRMpXGciH4qWe/4Jpjxjir82FLcPKD3BbDva6WBJc3ocC3VkQTA54UQgUIIDyHET0KIHCHE7PaYnEbTErzc3RjXN4Kf92W1qNT6f1Ye5B/f7ePdNelOm4sRits70r/zaxwAXcx3wY6YqTSO03OMig677n1lbmstfaeac1pkh5upwDGNY4qUsgi4FNUnoy+qJ4dG0+mYPKALWUWV7M50THtYlZrDvGUqScvRYxwht6QSk7lgY15ZlfM7FTqbmGGqUq0WHM6l52h4NN1+4UxH6X2BuY/6IAh3UfhzC3DEx2GUVL8Y+EhKmWerppBG0xmY2C8CIeDHvVkkdWu+sdHxgnLuX7iV3pH+DI8LZdHGDKpr6/Bwa7sFN7ukilA/T8L8vaiqqaO8urbZcOIOJ+VmlTvSuPS7pu04Y730DYULn+rQpD9rHPmFfC2E2AcMA34SQkQAOhxX0ykJ8/diSPfg0+ZzFFdUc/f7m6mqqeM/s4dyXmwoVbV1pJ0qcco8cksqCfPzItTXE4C8zm6ucnNv2idd07kYfZ+qX9UJcCSPYy4wChgmpawGSgEbBeI1ms7BoCE0aQAAIABJREFU5AFd2Hm8kOMF5Tb355RUMuutdezOLOLF6wYTH+FPYrTSTnYdt9F4pxXkllYR5u9JiJ8SHM0WOtRozjAccY5fg6pXVSuEeBx4H9D6rKbTcvmgaDzdTTzz7Z4m+47llTHj9TWknSrhrZuG1ffwiAv3w9fTzWl+jtySSsL8vQjxVZbeTq9xaDQtwBFT1Z+llMVCiLHARcC7wOuunZZG03q6h/rywOQ+LNl5kqW7TtRvP5BVzIz/rCGvtIr354xgYn9LPSY3k2BA10B2ZzpJ4yipItxK42i2XpVGc4bhiOCoNT9fArwupfwK8HTdlDSatnPHuHgSugby5692U1hWzfZjBVz7xlqkhEV3jmJYbGiTY5KiA9mTWURdXdsioCqqaymurCHc3+LjOCNCcjUaB3FEcBwXQrwBXAssEUJ4OXicRtNheLiZeH5GMnmlVdz94Wauf2sdAd7ufHLnKPpH2a6ym9gtiNKqWtJzS097/oPZJezIKLC5zzBLhfl5EujjgRCQp30cmrMIRwTAtcAyYKqUsgAIRedxaM4AkroFcce4eFan5RId7MOnd46mZ5if3fGJ0Uqg7HLAz/HHz3dy0zsbqKiubbLPSP4L8/fCzSQI9vGgQJuqNGcRpw0sl1KWCSEOAhcJIS4CfpVS2mhJpdF0Ph6Y3IeYEB8uTupa72+wR5/IADzdTOzOLOTyQfbjPyqqa9l6tICq2jq+2XGCGUMbtirNMZcbCfNX1wvx9dTOcc1ZhSNRVQ8AHwCR5sf7Qoj7XD0xjcYZeHu4ccOInqcVGgCe7ib6Rvmz+3jzGseWI/lU1dbh6W7ivbXpTfYbGke4n+pcGOLnqZ3jmrMKR0xVc4ARUsq/SCn/AowEbDRB1mjOfJKig9idWdhsiZC1h3JxMwkemNyH7RmFbD/W0NdhlFS31jjyS7WPQ3P24IjgEFgiqzD/rWuOaM5KEqMDyS+rJrOwgn0ni7jslVX8Y0nD8uHrDuWS1C2Im0b1xNfTjffWHWmwP7e0Cm8PE76eqidIiK+H1jg0ZxWOCI4FwHohxBNCiCeAdcDbLp2VRtNBJJrrWz333T6m/3s1O48X8u7adIoqlMZQXlXLtmMFjIwPJcDbgyuHdOPr7ZkNwm1zzOVGjJpuoX7ax6E5u3Ck5Mi/gFuBPCAfuFVKOd/VE9NoOoIBUYGYBCzensnwuFAW3HIeFdV1fLX1OACbj+RTXSsZFR8GwE2jYqmsqWPRpmP15zCS/wyCfT2prKmjvKppBJZGcybSbFSVEMIE7JBSJgFb2mdKGk3H4ePpxr2T+hDo7c5tY+IQAhK6BvLRhmPMHtmTtYdycDOJ+gTCflEBDI8L5YP1R7ljXDxCCHJKKukS6F1/zlA/c9mRsiq6efp0yPvSaJxJsxqHlLIO2C6E6NFO89FoOpyHL+zL7efHYzIJhBDMGt6dPSeK2Hm8kHWH8kiOCcLfy3LPNfO87hzNK2Njej7QVOMI0dnjmrMMR3wcXYHd5u5/i42Hqyem0XQWpg/phreHiXdWHWb7sQJGms1UBhclRuHr6cbnWzKQUpJbqgocGuh6VZqzDUc6yzzp8lloNJ2YQG8PLk2O5tPNGQD1/g0DPy93piZF8e2OEzx8YV+qayVhfk01Du0g15wt2NU4hBC9hRBjpJQrrB+ARLWQ1WjOGWYN7w6Au0kwtGdIk/0zUmIorqzhow3KSR5upXGE6p4cmrOM5kxV84FiG9vLzPs0mnOGlB4h9I8KIKVnCH5eTRX1kfFhRAd587+16YAl+Q8gyCh0qDUOzVlCc4IjVkq5o/FGKeUmINaRkwshpgoh9gsh0oQQc23s9xJCfGzev14IEWu17zHz9v3mGlkIIboLIZYLIfYKIXaby6FoNC5HCMF7c0bw2g0pNvebTIIrhnQjt74yrkXjcDMJgqwKHa4/lMuwp3/kYLZz2tRqNO1Nc4LDu5l9p40pFEK4Aa8C04AEYJYQonGn9TlAvpSyN/Ai8Jz52ARgJpAITAVeM5+vBvidlHIAqvTJPTbOqdG4hIgArwYmqMZclWIpdmgdVQXmQodmU9XLP6eSU1LJmysOuWaiGo2LaU5wbBRCNKlJJYSYA2x24NzDgTQp5SEpZRWwkKa9yqejOgoCfApMFirddjqwUEpZKaU8DKQBw6WUJ6SUWwCklMXAXqCbA3PRaFxO70h/BnUPBmhSVDHE14P80ip2HS9kdVou4f6efLH1OKeKKtp0zZLKGqpq6tp0Do2mpTQnOB4EbhVC/CKEeMH8WAHcDjhiIuoGHLN6nUHTRb5+jJSyBigEwhw51mzWGgKsd2AuGk278PCFfblldCwebg1/WqHmCrlv/XoIP083FtwynJq6OhasSW/1terqJJe/soqnbfRW12hcid1wXCllFjBaCDERSDJv/lZK+bOD57ZVCLFxyVF7Y5o9VgjhD3wGPCiltFkDWwhxB3AHQI8eOn9R0z6M7xvB+L4RTbYH+3qy7lAe+04Wc8voWAbGBDE1KYr31x3hnom9GyQUOsqmI/kcyinF18vNGVPXaBzGkVpVy6WUr5gfjgoNUFpCd6vXMUCmvTFCCHcgCFUTy+6xQggPlND4QEr5eTPzflNKOUxKOSwioukPWaNpT0L9PCmprAHgtrFxAPx2XC+KK2pYuOFoq8751TZVPyvtVEmb+6RrNC3Blb3DNwJ9hBBxQghPlLO7ccb5YuD/27vz8KqrM4Hj3zc3l+wLJJCEhIRAFhbZI7IogkJxK6BixX2QquNg1dY6daadGcfRZ8ZOW22rtlVQ0SqKaBGXwYVFkE0TIMhOCARCQkJiVrLe5Mwf95eQFXJpbhJu3s/z5OHec8/v3nM4kPee5XfOPdbj+cA64zwIYTWwwFp1FQ8kAt9Y8x9Lgf3W5otKXRQabgK8YXQU0aHOtSVjBoVyWXw/ln59lNo61+Ypahz1fPJdLn52G1W19WQXVXZ6mZVqj9sChzVn8RDO88r3AyuMMXtF5CkRmWNlWwqEiUgG8DPgCevavcAKYB+wBlhsjKkDpgJ3AVeJyC7r5zp31UGpzhLd1w8vgfuuGNIs/cHpQ8ktqWLxWztc2j3364zTFFfUsnDqYAAO5bV1y5VS7iHnOunMU6SkpJjU1NTuLobqxRx19eQUVxEb5t/qtdc2H+Wpj/cxOiaUpfeknHPJb4NH3tnJhoOnWffYlUx4+kv++Zpk/ml6gjuKrnopEUkzxqS09Zo7h6qUUhZvm1ebQQNg4dR4/nznBA6eKuXGlzaTXVRxzveqqHHw+d48rhsVRVigD5HBvhzO05sJVdfRwKFUDzB7ZCTv3D+Z4jO1PPrOLurOMdn9xb48KmvrmDt2IACJEYEcztehKtV1NHAo1UOMHRTKU/NGkppVxJ82ZLSbb/WuHCKDfZloHSaVFBGkK6tUl9LAoVQPMm9sND8cM5DnvzxM+oniVq8Xllfz1aHTzBk7EC8v5+1OSRGBVNXWc+I8Q1xKdRYNHEr1ICLC03MvYUCQD4++u4uKGkez1z/clYOj3nBzk32xEiOCADik8xyqi2jgUKqHCfG389sfjeVowRleWn+k2Wsr07IZFR1CcmRQY1rCgECAZvMcjrp6HC7eG6JUR2ngUKoHmjw0jOtHRfHa5qONZ5XvyyllX24p8yfENMsb7GsnKqT5yqoH3kxj7oubqart+L0hSnWUBg6leqhHZiZSUVvHy5uc26+/vyMbu02YM2Zgq7yJEUGNNwGmHvuetQfy2ZtTynNfHurSMqveQQOHUj1UUkQQPxw9kGVbjpFXWsWqnSeZOTyi1ZbtAEkDAsnIL6eu3vDHdRmEBfThxnHRvLIxk7Ssom4ovfJkGjiU6sEevjqRqto6Fi37lsIzNa2GqRokRQRR7ajn0+9y+erQaRZdEc9Tc0cSFeLHz99Lp7KmDkddPTuPF7HnZEkX10J5Gtf3clZKdZmEAYHMHRvN33aeJDywD9Pa2LIdnDcBAjy5ei8hfnbumhRHkK+d/50/mtuXbGfOC1+TW1JFebUDX7sXab+a1ebZ6Up1hPY4lOrhHr46EW8v4abxMa0OiGrQsLKq8EwNC6cOJsjXDsCUhHAWzxiKAeaOHcjPZiVRVVvP2gP5XVV85YH0K4dSPVx8eABrHp1GTF+/dvME+doZGOJLaZWDf5gyuNlrj88exuOzhwFQV294c1sWn+7ObXOSXamO0MCh1EWgoUdxLj+5OhE/u41Q/9aT5w1sXsK1l0Ty7rcnOFPt0OEqdUF0qEopD3HbxFjmjYs+b77rR0VR7ahnnQ5XqQukgUOpXiZlcD/6B/nw6Xe5jWlbjhTw03d3cabacY4rlXLSfqpSvUzL4aqc4koeeCONsmoHIX52npwzsruLqHo47XEo1QtdZw1Xvb8jm3uXfYuP3cYPxwxk2dZjpGV9323lWrMnl2fXHOi2z1cdo4FDqV7o0sH9CA/04d8/3EteaTWv3D2B/75pFFHBvvzi/e+odnTPHlevbznGKxszqdUNGns0DRxK9UI2L+GG0VEA/PaWMYyL7UugjzfP3DSKjPxyfvf5IbYcKWDJpkye+mgfW44UYIzrB0Xtzy3ldFl1h/LW1tWTfqIER73hWMEZlz9LdR2d41Cql/rFNcO4cVw0YwaFNqbNSB7ATeOi+cvGTP6y0bm5ot0mvLr5KIkDArl7ymDumBjbeIjUuVTW1HHLn7cyPbk/L9w+/rz5D+SWUWnt5nsor7zxnBHV82jgUKqX8utjaxY0Gjw5dyRjY0MZHBbA8Khggny9WZ2ew5tbs/i3VXuwewkLJsae9/3XHsijvNrBxkOncdTV493OXe8Nms6tHMor43qiXK+U6hI6VKWUaibY187dkwczLak//YN88LXb+FHKIFY/NJXhUcG8sTWrQ8NWq3flAFBa5WBnG8fgtpR2vJioEF8Gh/k3O5RK9TwaOJRSHSIi3Dkpln25pew4fu5AUFJZy4aDp5k/IQabl7Dh4PlvNtyRVcT4uL4kRgQ1O5RK9TwaOJRSHTZvbDSBPt78dVvWOfN9tvcUNXX13DkpjvGxoWw4ePqc+XNLKjlZXMmE2L4kRQRytOAMNQ5dWdVTaeBQSnVYgI83N4+P5pPduRSWO1dLHTldznW/38SbTYLJR+k5xIX5MyYmhOnJA9ibU0p+WVW777sjy9mDmRDXl6SIIOfKqkJdWdVTaeBQSrnkjklx1NTVsyI1m4z8Mha8vI39p0r5t1V7WJ2eQ35ZFZszCpgzZiAiwpXWGSIbDxW0+55pWUX42r0YMTC4cUPHhqNwVc+jgUMp5ZKkiCAui+/Hsi3HWPDydoyBjx66nInx/XhsxS6e+mgf9YbGbdtHRAUTHuhzznmOtONFjI4JxW7zYmj/QLzEuSRX9UwaOJRSLrtrchynSqsQgXfun8Ql0SG8cncKQ/sH8vHuXIZFBjXeh+Hl5ex1bDpcgKONO8KrauvYe7KECXF9AfC124gLC+Cw9jh6LA0cSimXzR4ZyRPXDmPFA5Mbh5ZC/Owsu3ciYwaF8sCVQ5rln57cn5LKWtKzW6/G2p3tvFt8QmzfxrTEAYEcztceR0+lNwAqpVxmt3nxj1cObZUeEezLh4untkq/IjEcL4FPvzvFhLh+zV5LyyoCYHxck8AREci6A/nUOOrp4+38fltfbzp0x7pyP+1xKKXcLtS/Dz8YEcnSr4/y03d3UVJZS21dPUu/PspLGzJIjgiiX8DZkwsbVlYdtfasWrIpk0uf+ZKSitruqoJqQnscSqku8cfbx/Hi+gz+uC6DbZmFBPh4k5FfzhWJ4fxnizNAEgc450cO5ZXhJfDrNQepqavng53ZLJwa35jveGEFz352gP++aRTBvvYurU9vpj0OpVSXsNu8eHRmEh88OIUAH29q6+pZcncKb9w7kSH9m5+pPqR/AF4CB06V8vOVuwnwsZEcEcTb24832+7kd18c5JPduazXY3C7lFsDh4hcIyIHRSRDRJ5o43UfEXnXen27iAxu8tq/WOkHRWR2k/RXRSRfRPa4s+xKKfcYMyiUzx+dxvrHpjNzRAQirectfO02BocF8NrmY6SfKObJOSNZdHk8h/PLSbXmRI4VnGF1unM/rK1HCru0Dr2d2wKHiNiAF4FrgRHAbSIyokW2RUCRMSYBeA541rp2BLAAGAlcA7xkvR/A61aaUuoi5eUl553oThgQSEVNHbNGRDBnzEBuGBNFkI83b28/DsBLGzLwtnkxPjaUrZkaOLqSO3scE4EMY0ymMaYGeAeY2yLPXGCZ9XglcLU4v37MBd4xxlQbY44CGdb7YYzZCHTf2ZZKqS7hPKWwD8/MuwQRwb+PNzeOj+aT73LZc7KED3ac5LZLB3H96IFkFVaQU1zp0vsbY/hw10mOnNZlv65y5+R4NHCiyfNs4LL28hhjHCJSAoRZ6dtaXBvtyoeLyP3A/QCxsec/O0Ap1bP8+Ip47p4Sh4+3rTHt9stieWNrFgtf/xYReODKoRRbK622Hink5gkxgPM0wSWbjnLrpYOardZqUF7t4PH30vm/PaeI7efP/z1yBQE+PXetkDGG+95IZX9uGUG+3gT6eHPHpFhuHBfTLeVxZ4+jrX5oy03828vTkWvPyRjzsjEmxRiT0r9/f1cuVUr1ACLSLGgADIsMZnxsKKfLqpk/IYaBoX4Miwyir7+92XDVqp0neXbNAV62TjFsKiO/nHkvbuazvae4c1IsJ4oqePqTfW6vT4PKmjr+tjObn7+X3qHt5gHW7s/ny/35JAwIJC7Mn2OFZ1i25dw7FLuTO0NsNjCoyfMYIKedPNki4g2E4ByG6si1Sqle6L4rhvD4yt08eGUC4JwvmTQkjK1HChtXXC39+igA76We4KezEhsDUHFFDfP/vAUvEf666DKmJIQT4OPNX77KZObwCK4eHtHhctTVG6oddfj36div0ZPFlby4PoOPduVQVu3Ax9uLlWnZzEjuz69uGMHQFivLGhhj+OO6w8T282fpPSl427x4cvVeVqSe6LabIt3Z4/gWSBSReBHpg3Oye3WLPKuBe6zH84F1xtnyq4EF1qqreCAR+MaNZVVKXSSuHRVF+n/8gNgw/8a0yUPDOFlcyYnvK9mcUciBU2XMGTOQwjM1fLY3rzHfK5syKa6obQwaAD+blcSwyCB+8f7uxq3iO+K/Pt7HjN9soMo6J709NY56XtqQwczffsX7adnMGhnB8vsmsfvJH/DL64aTeqyI2c9tbHdl2FeHTpOeXcLiGUMbj98dHhVERU0dJ4oqOlzezuS2wGGMcQAPAZ8B+4EVxpi9IvKUiMyxsi0FwkQkA/gZ8IR17V5gBbAPWAMsNsbUAYjIcmArkCwi2SKyyF11UEr1TLYW37InDwkDYGtmAUu+ziQ80Idfzx9NbD9/3t7uHNL5/kwNr28+xvWjohgxMLjxWh9vG88vGEtppYMZv9nAj5elsmRTJqdK2j8/5HhhBX/dlkVeaTUf785tN9+ekyVc+/uN/HrNQaYlhbP2sSv53Y/GMnloGD7eNu6bNoT1j08n0Neb91JPtLreGMMf1h4mOtSv2XxGcqSz/AdOdc9GkG6dDTLGfAp82iLt35s8rgJuaefaZ4Bn2ki/rZOLqZS6yCUMCCQ80Ie3tx8nPbuEx2Yl4Wu3cdvEWJ5dc4CM/HLe35FNRW0dj8xMbHX9sMhg3lg0kVU7T7Its5Av9+exZNNRVi2eSmSIb6v8z689hM1LiAr15c1tWcyf0HqS+ot9eTy8fCeh/nZeW3gpM5IHtFn28EAfrho2gHUH8nHU1Tf2KgC2HClkx/Finp53SeOeXQBJEYGIwMFTZcweGXkhf2V/F71zXCl10RMRJg3pR3p2CT7eXtwxKQ6AW1JisNuEl9ZnsGyLs7eRZG333tKkIWH8z82j2fD4DD566HLKqx3c+/q3nKl2NMuXkV/Gqp0nuWfKYBZNjSf9RDG7m+z6a4zhlY2Z3P9mKkkRgXz40NR2g0aDWcMjKK6obby5scHv1x4mMtiXW1KaByb/Pt7E9fPnwKnSDv8ddSYNHEopjzB5qHO46uYJMY1LcMMDfZg9MpIPdp6ksraOR65u3dtoy6iYEF64fRwH88r4yfKd1NWfXdT53BeH8bPb+Mcrh3LThBj8+9h4Y+vZFU6//fwQz3y6n2tGRvLO/ZMZENS6x9LStKT+9LF58cW+s/MxaVlFfHP0e+6fNqTV6jKA5Migbhuq0sChlPIIPxgRyYzk/jzYYrv32y9z3sf1w9EDGw+X6ojpyQN4cs5I1h3I5+5Xt/PCusO8tT2LT77LZdHl8fQL6EOwr51546L5KD2HojM1vLIxkxfWZ7Dg0kG8ePt4/Pq0/oXflgAfb6YkhPHl/rzGlWEvbzxCqL+dBRMHtXlNcmQwxwrOnHdy3h167h0vSinlgv5BPry2cGKr9MlDwvifm0Zx1fBzDxe15a5JcZRW1rL8m+NsznCuegrxs7PoiiHN8ry9/Tj/9NYOtmYWcv2oKJ65cZTLy2RnjYjgl3/bw+H8cmxewuf78nhoRkK7y32HRwZRb+BwXjmjYkJcrtvfQwOHUsqjiQgLJl747hGLZySweEYC5dUODueVEerfhxC/s1u4D48K5tLBfdmaWcgVieE8d+vYVqu+OmLmcGfg+GJfHtlFFdhtXtwzZXC7+ZMjnb2nA6dKNXAopVRPFOjjzbgmx9s29a/XDWdlWja/vH54s9VProgI9mVMTAjv78gmu6iS+RNiCA/0aTd/XFgAvnYvDnbDPIcGDqWU+juNi+3bblBxxawREfzm80OIOO+QPxebl5AU0T0T5Do5rpRSPcSsEc57MmaPiCQ+POC8+ZM1cCilVO+WFBHIf827hF/dMLxD+ZMjgygor6bAha1SOoMGDqWU6iFEhLsmxRHT1//8mXFOzANdPs+hgUMppS5SZ1dWaeBQSinVAeGBPoQH+rAjqwhHXX2Xfa6uqlJKqYvY5QlhrNqVw7bMQq4bFcXNE2IYOyjUrZ8pDbe3e7KUlBSTmpra3cVQSqlOV+2oY8PB06xOz2Ht/jyqauu5PCGcn1yVwGXWdvMXQkTSjDEpbb6mgUMppTxDebWD5duP85eNmRSUV3NZfD+W3TsRX3vH9sxq6lyBQ4eqlFLKQwT6eHPftCHcNTmO5d8c5+CpsgsKGuejgUMppTyMr93Gwqnxbnt/XVWllFLKJRo4lFJKuUQDh1JKKZdo4FBKKeUSDRxKKaVcooFDKaWUSzRwKKWUcokGDqWUUi7pFVuOiMhpIMuFS8KBAjcVp6fqjXWG3lnv3lhn6J31/nvqHGeM6d/WC70icLhKRFLb26PFU/XGOkPvrHdvrDP0znq7q846VKWUUsolGjiUUkq5RANH217u7gJ0g95YZ+id9e6NdYbeWW+31FnnOJRSSrlEexxKKaVcooFDKaWUSzRwNCEi14jIQRHJEJEnurs87iIig0RkvYjsF5G9IvKIld5PRL4QkcPWn327u6ydTURsIrJTRD62nseLyHarzu+KSJ/uLmNnE5FQEVkpIgesNp/s6W0tIj+1/m3vEZHlIuLriW0tIq+KSL6I7GmS1mbbitMfrN9vu0Vk/IV+rgYOi4jYgBeBa4ERwG0iMqJ7S+U2DuAxY8xwYBKw2KrrE8BaY0wisNZ67mkeAfY3ef4s8JxV5yJgUbeUyr1+D6wxxgwDxuCsv8e2tYhEAw8DKcaYSwAbsADPbOvXgWtapLXXttcCidbP/cCfLvRDNXCcNRHIMMZkGmNqgHeAud1cJrcwxuQaY3ZYj8tw/iKJxlnfZVa2ZcC87imhe4hIDHA9sMR6LsBVwEoriyfWORiYBiwFMMbUGGOK8fC2xnkstp+IeAP+QC4e2NbGmI3A9y2S22vbucAbxmkbECoiURfyuRo4zooGTjR5nm2leTQRGQyMA7YDEcaYXHAGF2BA95XMLZ4H/hmot56HAcXGGIf13BPbfAhwGnjNGqJbIiIBeHBbG2NOAr8BjuMMGCVAGp7f1g3aa9tO+x2ngeMsaSPNo9cqi0gg8D7wqDGmtLvL404icgOQb4xJa5rcRlZPa3NvYDzwJ2PMOOAMHjQs1RZrTH8uEA8MBAJwDtO05GltfT6d9u9dA8dZ2cCgJs9jgJxuKovbiYgdZ9B4yxjzgZWc19B1tf7M767yucFUYI6IHMM5DHkVzh5IqDWcAZ7Z5tlAtjFmu/V8Jc5A4sltPRM4aow5bYypBT4ApuD5bd2gvbbttN9xGjjO+hZItFZe9ME5mba6m8vkFtbY/lJgvzHmd01eWg3cYz2+B/iwq8vmLsaYfzHGxBhjBuNs23XGmDuA9cB8K5tH1RnAGHMKOCEiyVbS1cA+PLitcQ5RTRIRf+vfekOdPbqtm2ivbVcDd1urqyYBJQ1DWq7SO8ebEJHrcH4LtQGvGmOe6eYiuYWIXA5sAr7j7Hj/v+Kc51gBxOL8z3eLMablxNtFT0SmAz83xtwgIkNw9kD6ATuBO40x1d1Zvs4mImNxLgjoA2QCC3F+afTYthaR/wRuxbmCcCfwY5zj+R7V1iKyHJiOc/v0POA/gFW00bZWEH0B5yqsCmChMSb1gj5XA4dSSilX6FCVUkopl2jgUEop5RINHEoppVyigUMppZRLNHAopZRyiQYOpTqBiNSJyK4mP512d7aIDG66+6lS3c37/FmUUh1QaYwZ292FUKoraI9DKTcSkWMi8qyIfGP9JFjpcSKy1joXYa2IxFrpESLyNxFJt36mWG9lE5FXrDMmPhcRv26rlOr1NHAo1Tn8WgxV3drktVJjzEScd+0+b6W9gHOL69HAW8AfrPQ/AF8ZY8bg3FNqr5WeCLxojBkJFAM3u7k+SrVL7xxXqhOISLkxJrCN9GPAVcaYTGtjyVPGmDARKQCijDG1VnquMSZcRE4DMU23wrC2vv/COpgHEfkFYDfGPO3+minVmvYnlsTHAAAAt0lEQVQ4lHI/087j9vK0pemeSnXo/KTqRho4lHK/W5v8udV6vAXnLr0AdwBfW4/XAg9C4/nowV1VSKU6Sr+1KNU5/ERkV5Pna4wxDUtyfURkO84vardZaQ8Dr4rI4zhP6FtopT8CvCwii3D2LB7EeYqdUj2GznEo5UbWHEeKMaagu8uiVGfRoSqllFIu0R6HUkopl2iPQymllEs0cCillHKJBg6llFIu0cChlFLKJRo4lFJKueT/Afh1qSa99Sl/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(1, NUM_EPOCHS+1), train_loss_lst, label='Training loss')\n",
    "plt.plot(range(1, NUM_EPOCHS+1), valid_loss_lst, label='Validation loss')\n",
    "plt.legend(loc='upper right')\n",
    "plt.ylabel('Cross entropy')\n",
    "plt.xlabel('Epoch')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(1, NUM_EPOCHS+1), train_acc_lst, label='Training accuracy')\n",
    "plt.plot(range(1, NUM_EPOCHS+1), valid_acc_lst, label='Validation accuracy')\n",
    "plt.legend(loc='upper left')\n",
    "plt.ylabel('Cross entropy')\n",
    "plt.xlabel('Epoch')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test accuracy: 88.28%\n"
     ]
    }
   ],
   "source": [
    "model.eval()\n",
    "with torch.set_grad_enabled(False): # save memory during inference\n",
    "    test_acc, test_loss = compute_accuracy_and_loss(model, test_loader, DEVICE)\n",
    "    print(f'Test accuracy: {test_acc:.2f}%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "class UnNormalize(object):\n",
    "    def __init__(self, mean, std):\n",
    "        self.mean = mean\n",
    "        self.std = std\n",
    "\n",
    "    def __call__(self, tensor):\n",
    "        \"\"\"\n",
    "        Args:\n",
    "            tensor (Tensor): Tensor image of size (C, H, W) to be normalized.\n",
    "        Returns:\n",
    "            Tensor: Normalized image.\n",
    "        \"\"\"\n",
    "        for t, m, s in zip(tensor, self.mean, self.std):\n",
    "            t.mul_(s).add_(m)\n",
    "            # The normalize code -> t.sub_(m).div_(s)\n",
    "        return tensor\n",
    "    \n",
    "    \n",
    "unorm = UnNormalize(mean=train_mean, std=train_std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_loader = DataLoader(dataset=train_dataset, \n",
    "                         batch_size=BATCH_SIZE, \n",
    "                         shuffle=True)\n",
    "\n",
    "for features, targets in test_loader:\n",
    "    break\n",
    "    \n",
    "\n",
    "_, predictions = model.forward(features[:8].to(DEVICE))\n",
    "predictions = torch.argmax(predictions, dim=1)\n",
    "\n",
    "d = {0: 'cat',\n",
    "     1: 'dog'}\n",
    "    \n",
    "fig, ax = plt.subplots(1, 8, figsize=(20, 10))\n",
    "for i in range(8):\n",
    "    img = unorm(features[i])\n",
    "    ax[i].imshow(np.transpose(img, (1, 2, 0)))\n",
    "    ax[i].set_xlabel(d[predictions[i].item()])\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
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